Staff Data Scientist, Ads Performance
At a Glance
- Location
- US
- Work Regime
- remote
- Experience
- 8+ years
- Department
- Engineering
- Posted
- 2026-02-11T14:54:12-05:00
Key Requirements
Required Skills
Requirements
8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.
Proficiency in leveraging large datasets for performance analysis and gap identification.
Proven ability to apply scientific methods to solve real-world problems on web-scale data
Expertise in SQL and Python
Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
Responsibilities
Strategy:
Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
Experimentation:
Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
Leadership:
Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.